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2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)最新文献

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Enhanced k-Anonymity model based on clustering to overcome Temporal attack in Privacy Preserving Data Publishing 基于聚类的改进k-匿名模型克服隐私保护数据发布中的时间攻击
C. Sowmyarani, L. G. Namya, G. K. Nidhi, P. Ramakanth Kumar
The infrastructure required for data storage and processing has become increasingly feasible, and hence, there has been a massive growth in the field of data acquisition and analysis. This acquired data is published, empowering organizations to make informed data-driven decisions based on previous trends. However, data publishing has led to the compromise of privacy as a result of the release of entity-specific information. Privacy-Preserving Data Publishing [1] can be accomplished by methods such as Data Swapping, Differential Privacy, and the likes of k-Anonymity. k-Anonymity is a well-established method used to protect the privacy of the data published. We propose a clustering-based novel algorithm named SAC or the Score, Arrange, and Cluster Algorithm to preserve privacy based on k-Anonymity. This method outperforms existing methods such as the Mondrian Algorithm by K. LeFevre and the One-pass K-means Algorithm by Jun-Lin Lin from a data quality perspective. SAC can be used to overcome temporal attack across subsequent releases of published data. To measure data quality post anonymization we present a metric that takes into account the relative loss in the information, that occurs while generalizing attribute values.
数据存储和处理所需的基础设施已经变得越来越可行,因此,在数据获取和分析领域有了巨大的增长。这些获得的数据被发布,使组织能够根据以前的趋势做出明智的数据驱动决策。然而,数据发布由于实体特定信息的发布而导致了隐私的妥协。保护隐私的数据发布[1]可以通过数据交换、差分隐私和k-匿名等方法来实现。k-匿名是一种行之有效的方法,用于保护发布数据的隐私。我们提出了一种基于聚类的新算法SAC (Score, Arrange, and Cluster algorithm)来保护基于k-匿名的隐私。该方法在数据质量方面优于K. LeFevre的Mondrian算法和Jun-Lin Lin的One-pass K-means算法等现有方法。SAC可用于克服已发布数据的后续版本之间的时间攻击。为了衡量匿名化后的数据质量,我们提出了一个度量,该度量考虑了在概括属性值时发生的信息的相对损失。
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引用次数: 2
A Proof-of-concept Portable, Non-invasive, and Wireless device for the Preliminary Diagnosis of Preeclampsia 用于子痫前期初步诊断的便携式、非侵入性和无线设备的概念验证
M. Pc, Tripti S. Warrier, Nalesh S
The Hypertensive Disorders of Pregnancy (HDPs) are one of the main factors affecting maternal mortality globally and early diagnosis can lead to a significant reduction in maternal and fetal mortality. Preeclampsia typically occurs in the third trimester and early diagnosis is essential for maternal and fetal health. The current practice is to use blood pressure measurements to identify pregnant women with the risk of hypertensive disorders and use blood and urine analysis to further identify the possibility of preeclampsia. However, the shortage of adequate laboratory facilities in rural India is a major bottleneck in the diagnosis and management of pre-eclamptic women. The proposed solution addresses this problem by developing a device that measures all relevant biophysical and biochemical parameters relevant for preliminary screening of women with preeclampsia and which can be operated by semiskilled health workers. In the initial prototype model developed in the Arduino UNO platform, we propose a portable, and wireless device for the early diagnosis of HDPs by monitoring the blood pressure levels using the oscillometric method, measuring the creatinine and uric acid levels using a strip-based electrochemical sensor, measuring the albumin content using a fluorescence-based biosensor. A completely novel method for early detection of preeclampsia by measuring the sFLT-1/PIGF ratio also proposed. In this work, we are coming up with a proof-of-concept model as a single device to integrate the three different sensing techniques in which the electrochemical sensing and fluorescence sensing techniques of biomarkers are experimentally proved using blood glucose level measurement followed by appropriate calibration.
妊娠高血压疾病(HDPs)是影响全球孕产妇死亡率的主要因素之一,早期诊断可显著降低孕产妇和胎儿死亡率。子痫前期通常发生在妊娠晚期,早期诊断对母婴健康至关重要。目前的做法是使用血压测量来识别有高血压疾病风险的孕妇,并使用血液和尿液分析来进一步确定先兆子痫的可能性。然而,印度农村缺乏足够的实验室设施是诊断和管理先兆子痫妇女的主要瓶颈。拟议的解决方案通过开发一种装置来解决这一问题,该装置可测量与子痫前期妇女初步筛查相关的所有相关生物物理和生化参数,并可由半熟练的卫生工作者操作。在Arduino UNO平台开发的初始原型模型中,我们提出了一种便携式无线设备,用于hdp的早期诊断,通过使用振荡法监测血压水平,使用条带电化学传感器测量肌酐和尿酸水平,使用荧光生物传感器测量白蛋白含量。此外,还提出了一种通过测量sFLT-1/PIGF比值来早期检测子痫前期的全新方法。在这项工作中,我们提出了一个概念验证模型,作为一个单一的设备来集成三种不同的传感技术,其中生物标志物的电化学传感和荧光传感技术通过血糖水平测量和适当的校准进行实验验证。
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引用次数: 0
Performance Analysis of fog System with user’s impatient behaviour 考虑用户不耐烦行为的雾系统性能分析
Pratyusa Mukherjee, V. Goswami, S. Patra, G. B. Mund, Jeet Chakraborty, Rabindra Kumar Barik
The Industrial Internet of Things (IIoT) is rapidly expanding. The social media, wireless communication and digitization technology growing rapidly and creating a large amount of data. For handling and processing, the large amount of data storage fog computing is an emerging solution which assist the cloud computing. Fog Computing improves the QoS provided to users with the help of cloud computing, by giving service to the IoT devices at their nearby proximity.The fog nodes' virtual machines (VMs) are in charge of processing and analysing IoT applications in real time.. One of the unsolved research issues is scaling the fog system efficiently to limit the customer requests reneging from the system.. The fog nodes are assumed to be a finite queue-dependent multi-server system in which tasks share the VMs.This paper evaluates the performance of the fog system by considering a multi-server queueing system with balking and reneging policies.
工业物联网(IIoT)正在迅速发展。社交媒体、无线通信和数字化技术发展迅速,产生了大量的数据。对于处理和处理海量数据的存储,雾计算是一种辅助云计算的新兴解决方案。雾计算在云计算的帮助下,通过向附近的物联网设备提供服务,提高了为用户提供的QoS。雾节点的虚拟机(vm)负责实时处理和分析物联网应用。一个尚未解决的研究问题是如何有效地扩展雾系统,以限制客户对系统的请求违背。雾节点被假设为一个有限队列依赖的多服务器系统,其中任务共享虚拟机。本文通过考虑一个具有拒绝和违背策略的多服务器排队系统来评估雾系统的性能。
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引用次数: 0
A Novel Training Algorithm for Neuro-control of Discrete-time Nonlinear Systems 一种新的离散非线性系统神经控制训练算法
Raj Patel, Divyam Mandradia, Koshy George
Guntur District, AP, India Guntur District, AP, India Physical systems are inherently nonlinear, and traditional methods of controlling such systems are based on a first-order linear approximation. Even though several nonlinear control design methods have been proposed in the past decades, most of these require analytical models. In contrast, artificial neural networks have been used as models for control since the paper published by Narendra and Parthasarathy in 1990. These recurrent networks are trained using the back-propagation algorithm, popular in other contexts. The principal issue was the notoriously slow convergence. More recently, an online sequential learning algorithm was proposed, which had better convergence properties. However, this algorithm applies to feedforward neural networks with a single hidden layer. We propose extending this algorithm’s applicability to networks with two hidden layers. The extension is achieved by incorporating error back-propagation. Further, we demonstrate that this novel algorithm has better convergence properties.
物理系统本质上是非线性的,传统的控制这种系统的方法是基于一阶线性近似。尽管在过去的几十年里提出了几种非线性控制设计方法,但大多数都需要分析模型。相比之下,自1990年纳伦德拉和帕萨萨拉斯发表论文以来,人工神经网络一直被用作控制模型。这些循环网络使用在其他环境中流行的反向传播算法进行训练。主要问题是众所周知的缓慢趋同。最近又提出了一种具有较好收敛性的在线顺序学习算法。然而,该算法适用于具有单个隐藏层的前馈神经网络。我们提出将该算法的适用性扩展到具有两个隐藏层的网络。扩展是通过结合误差反向传播实现的。进一步证明了该算法具有较好的收敛性。
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引用次数: 1
30 minute Short Holter Monitoring in Outpatient Practices - New Clues to Diagnosis 30分钟短动态监测在门诊实践-诊断的新线索
Aishwarya Srinivasan, Satish Kumar, Amrutha G R, V. K, D. Padmanabhan, Sugandhi Gopal
Cardiac monitoring devices have multiplied in the last few years, and have become instantly accessible hence leading to newer indications. 50 and more years ago, it was only used for critically ill patients, for an arrhythmia watch. The present day compact form factor, coupled with a real time online data display has now expanded indications to include identification of arrhythmias, ischaemia and QT intervals in drug trials. The current trend has been to enable longer and longer monitoring periods thus reducing the chance of missing significant arrhythmias. The cost of this is an increased waiting time for deployment and for analysis. Yet a significant number of arrhythmias may be identified with short monitoring periods of even a few minutes [1]. We present our experience with Sydäntek, from Carditek Medical Device, in office cardiology as a short term monitor. The study was undertaken in all diabetic, hypertensive and post stroke patients attending a routine cardiology clinic. Results showed unexpected bradycardia, atrial fibrillation, ventricular ectopics, ventricular tachycardia and pauses, leading to modification of medications and doses. This would have been missed with a routine 6 sec ECG which is the norm in the clinic . The report from this device is immediate with automation, analytics for 8 clinically significant arrhythmias, algorithms to detect non-usable, noisy segments, max and minimum heart rate, respiratory patterns and heart rate variability. We present the clinical implications and technical details for the automation . We propose that even short term, 30 min ECG monitoring has a role in effective and improved management of the patients.
在过去的几年中,心脏监测设备成倍增加,并且可以立即获得,因此导致了新的适应症。50多年前,它只用于危重病人,用于心律失常手表。目前紧凑的外形因素,加上实时在线数据显示,现已扩大适应症,包括心律失常,缺血和药物试验QT间期的识别。目前的趋势是使监测时间越来越长,从而减少了遗漏重大心律失常的机会。这样做的代价是增加了部署和分析的等待时间。然而,有相当数量的心律失常可以通过短短几分钟的监测时间来识别[1]。我们介绍我们的经验Sydäntek,从卡迪特克医疗设备,在办公室心脏病学作为短期监测。这项研究是在所有参加常规心脏病门诊的糖尿病、高血压和中风后患者中进行的。结果显示意外的心动过缓,房颤,室性异位,室性心动过速和暂停,导致药物和剂量的改变。这可能会被常规的6秒心电图遗漏,这是诊所的标准。该设备的报告是即时的自动化,分析8临床显著心律失常,算法检测不可用,嘈杂段,最大和最小心率,呼吸模式和心率变异性。我们介绍了自动化的临床意义和技术细节。我们认为,即使是短期的,30分钟的心电图监测也可以有效地改善患者的管理。
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引用次数: 0
Designing a D-Flipflop Using Novel Sleep Transistor Technique 利用新型睡眠晶体管技术设计d触发器
Ch. Meghana Reddy, Souvik Dhara, B. Srikanth, P. Ramakrishna
D-Flipflops are widely used in designing various analogue, digital and mixed signals. Different shift registers, counters and other circuits are designed using D-Flipflop. To increase the battery life time and reduce the power consumption, the voltage given to the circuit have to be decreased in the Standby mode of operation. In this paper different D Flipflops are designed using techniques like 5 transistor D-Flip Flop, Self-voltage level D-Flipflop and modified SVL (Self Voltage Level) D-Flipflop and Novel sleep transistor technique. Comparisons are made between all the designs in terms of power, delay and leakage power. All the designs are designed and simulated with the help of Cadence Virtuoso in 90nm technology. The leakage power observed in Novel Sleep Transistor technique is 93.5% less than that observed in Modified SVL Technique.
d -触发器广泛应用于设计各种模拟、数字和混合信号。不同的移位寄存器,计数器和其他电路设计使用d -触发器。为了延长电池的使用时间并降低功耗,必须在待机模式下降低电路的电压。本文采用5晶体管D触发器、自电压电平D触发器、改进的SVL(自电压电平)D触发器和新型睡眠晶体管技术设计了不同的D触发器。对各设计方案在功率、延时、漏功率等方面进行了比较。所有的设计都是借助90nm技术的Cadence Virtuoso进行设计和仿真的。新型休眠晶体管技术的漏功率比改进的SVL技术低93.5%。
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引用次数: 2
Automated Analogue Dial Reading in Cockpits 驾驶舱内自动模拟表盘读数
Harshitha Nagarajan, Rama Sai Abhishek Podila, C. Vishal, D. Radha, J. Amudha, G. Prasanna Murthy, Abiram Rajendran
A number of functional aircrafts still feature traditional cockpits with analogue gauges and dials in the modern world. In order to simplify aircraft navigation and allow the pilot to focus only on the most important information, technological intervention is imperative. This would also help minimize human error, log data and keep up with advancements in the modernization of aircraft displays. This paper has been focused on automating the task of analogue dial reading in cockpits, when there is a fixed-position camera available for capturing cockpit panel images. The Single Shot Detector Mobile Net v2(SSD) is used for gauge detection and cropping as it brings a good balance between speed and reliability. The Automated Analogue Dial Reading (AADR) system then preprocesses the detected gauges and finds candidate pointer lines that constitute the needle entity, using the Hough transform method. An optimal line depicting the pointer of the needle is then found from the lot, and the reading of the dial is obtained by associating the inclination of the needle with the dial configurations. Experimental results reveal that the cockpit gauges are detected from cockpit images with an accuracy of 98.64%, and the readings obtained are 98% accurate.
在现代世界,许多功能性飞机仍然以带有模拟仪表和表盘的传统驾驶舱为特色。为了简化飞机导航,让飞行员只关注最重要的信息,技术干预是必不可少的。这也将有助于最大限度地减少人为错误,记录数据,并跟上飞机显示器现代化的进步。本文主要研究了当有固定位置的摄像机可用于捕捉驾驶舱面板图像时,驾驶舱内模拟表盘读数的自动化任务。单镜头检测器移动网络v2(SSD)用于测量检测和裁剪,因为它在速度和可靠性之间取得了很好的平衡。自动模拟刻度盘读数(AADR)系统然后对检测到的仪表进行预处理,并使用霍夫变换方法找到构成针实体的候选指针线。然后从该批号中找到描绘针指针的最佳线,并通过将针的倾角与表盘配置相关联来获得表盘的读数。实验结果表明,从座舱图像中检测座舱仪表的精度为98.64%,获得的读数精度为98%。
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引用次数: 1
Observer Based Paradigm for Resilient Secondary Control of AC Microgrids 基于观测器的交流微电网弹性二次控制范式
Maneesh Kumar, R. Krishan, D. Pullaguram
This paper presents a novel resilient secondary control for a cooperative control based AC microgrids against false data injection (FDI) attack. The prime objectives of a secondary control are voltage v and frequency ω restoration while sharing proportional active and reactive power. In cooperative secondary control based microgrid system these objectives are achieved using peer to peer communication channel. For this, an observer is developed to estimate the presence of external disturbance (FDI) in the V and ω values using distributed communication. These estimated disturbances are then rejected using disturbance rejection in the secondary control making it resilient against FDI attacks. The proposed controller accurately estimates the disturbances in the system and hence precisely handles both internal(at sensors) and external( at communication) FDIs. The proposed resilient controller is validated by simulating a four DERs based microgrid operated under different disturbances like constant and bounded FDI attacks in MATLAB/SIMULINK environment.
提出了一种基于协作控制的交流微电网抗虚假数据注入(FDI)攻击的弹性二次控制方法。二次控制的主要目标是电压v和频率ω恢复,同时共享比例有功和无功功率。在基于协同二次控制的微电网系统中,这些目标是通过点对点通信信道实现的。为此,开发了一个观测器,使用分布式通信来估计V和ω值中外部干扰(FDI)的存在。然后在二次控制中使用干扰抑制来拒绝这些估计的干扰,使其对FDI攻击具有弹性。所提出的控制器可以准确地估计系统中的干扰,从而精确地处理内部(传感器)和外部(通信)fdi。通过在MATLAB/SIMULINK环境中对一个基于四种DERs的微电网在恒定和有界FDI攻击等不同干扰下的仿真,验证了所提出的弹性控制器的有效性。
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引用次数: 0
Mathematical Analysis and Modelling of a Novel Photonic based FMCW Signal Generation for Long Range Radar Applications 一种新型的基于光子的FMCW信号产生方法的数学分析和建模
D. Meena, Vigneshwar Dhavamani, K. A. Nethravathi
Modern day radars require multi-function capabilities to address the needs with growing threat scenarios. This demands systems with both short and long range detection supported with other multi-function capabilities including imaging. Conventionally, for radar applications with short range detection, Frequency Modulated Continuous Wave (FMCW) radar is one of the popular solutions. But recently, research has been conducted on using FMCW radar for long rage detection with high resolution based on photonics techniques. This is not possible with RF counterparts due to the existing bandwidth limitations and other related constraints. Few photonic techniques such as heterodyning [9] and frequency-to-time mapping have been researched upon and found out that these methods have few drawbacks like signal degradation and poor tunability. This paper proposes a novel method for the generation of large bandwidth and high sweep rate FMCW signals for long range detection based on the application requirements. The FMCW generation includes sawtooth as well as triangular chirps as per the target scenario requirements. The paper also brings out the mathematical analysis of the proposed hardware design used for the generation of the chirp signals. The analysis is supported with modelling results to obtain various multi-chirp patterns having a sweep bandwidth of 4GHz at a central frequency of 79GHz with a chirp time of 100ns. The proposed method can be extended to other fields like automobile and bio-medical applications.
现代雷达需要多功能能力来应对日益增长的威胁场景。这就要求系统具有短距离和远程探测,并支持包括成像在内的其他多功能功能。传统上,对于短距离探测的雷达应用,调频连续波(FMCW)雷达是一种流行的解决方案。但近年来,利用FMCW雷达进行基于光子技术的高分辨率长程探测的研究已经开始。由于现有的带宽限制和其他相关限制,射频对应物不可能做到这一点。对外差[9]、频率-时间映射等光子技术的研究发现,这些方法几乎没有信号退化、可调性差等缺点。本文从应用需求出发,提出了一种用于远距离检测的大带宽、高扫描速率FMCW信号的生成方法。根据目标场景要求,FMCW一代包括锯齿和三角啁啾。本文还对所提出的用于产生啁啾信号的硬件设计进行了数学分析。该分析得到了建模结果的支持,得到了各种多啁啾模式,其扫描带宽为4GHz,中心频率为79GHz,啁啾时间为100ns。该方法可推广到汽车、生物医学等领域。
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引用次数: 0
Performance Evaluation of OWC System in different weather conditions using Wavelength and Spatial Diversity 基于波长和空间分异的OWC系统在不同天气条件下的性能评价
Vijayashri V. Belgaonkar, R. Sundaraguru
Optical Wireless Communication uses free space to transmit the signals wirelessly in the atmosphere. Major delimiting factors of OWC system are atmospheric turbulence, attenuation due to FOG, Rain, Haze etc. Performance of the system is severely degraded by atmospheric losses. In this work, Gamma Gamma turbulence channel model is used for weak to strong atmospheric turbulence regime. Utilizing WDM and Spatial diversity MIMO significantly improves the performance of OWC System. WDM with spatial diversity MIMO is analyzed for different levels of atmospheric turbulence, heavy rain, Fog and Haze conditions. In dense Fog conditions, the OWC link distance up to 1200m could be achieved by using the proposed system. With using diversity technique, the Q factor, BER can be improved in the presence of strong turbulence regime and other atmospheric losses like Fog, Rain, Haze etc.
光无线通信利用自由空间在大气中无线传输信号。OWC系统的主要划分因素有大气湍流、雾、雨、霾等。大气损耗严重降低了系统的性能。在本研究中,伽玛伽玛湍流通道模型用于弱到强的大气湍流状态。利用波分复用和空间分集MIMO可以显著提高OWC系统的性能。分析了不同程度的大气湍流、暴雨、雾霾条件下的空间分集MIMO波分复用。在浓雾条件下,使用该系统可以实现高达1200m的OWC链路距离。利用分集技术,可以在强湍流状态和雾、雨、霾等其他大气损失存在的情况下提高Q因子、BER。
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引用次数: 0
期刊
2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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